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## Details

Genre/Form: | Electronic books Textbooks |
---|---|

Additional Physical Format: | Print version: Van Emden, H.F. (Helmut Fritz). Statistics for terrified biologists. Hoboken, NJ : Wiley, 2019 (DLC) 2019001708 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
H F Van Emden |

ISBN: | 9781119563693 1119563690 1119563682 9781119563686 |

OCLC Number: | 1083702655 |

Description: | 1 online resource |

Contents: | Intro; Table of Contents; Preface to the second edition; Preface to the first edition; 1 How to use this book; Introduction; The text of the chapters; What should you do if you run into trouble?; Elephants; The numerical examples in the text; Boxes; Spare-time activities; Executive summaries; Why go to all that bother?; The bibliography; 2 Introduction; What are statistics?; Notation; Notation for calculating the mean; 3 Summarising variation; Introduction; Different summaries of variation; Why n − 1?; Why are the deviations squared?; The standard deviation; The next chapter 4 When are sums of squares NOT sums of squares?Introduction; Calculating machines offer a quicker method of calculating the sum of squares; Avoid being confused by the term sum of squares; Summary of the calculator method for calculations as far as the standard deviation; 5 The normal distribution; Introduction; Frequency distributions; The normal distribution; What percentage is a standard deviation worth?; Are the percentages always the same as these?; Other similar scales in everyday life; The standard deviation as an estimate of the frequency of a number occurring in a sample From percentage to probabilityEXECUTIVE SUMMARY 1 The standard deviation; 6 The relevance of the normal distribution to biological data; To recap; Is our observed distribution normal?; What can we do about a distribution that clearly is not normal?; How many samples are needed?; 7 Further calculations from the normal distribution; Introduction; Is A bigger than B?; The yardstick for deciding; Derivation of the standard error of a difference between two means; The importance of the standard error of differences between means; Summary of this chapter EXECUTIVE SUMMARY 2 Standard error of a difference between two means8 The t-test; Introduction; The principle of the t-test; The t-test in statistical terms; Why t?; Tables of the t-distribution; The standard t-test; t-test for means associated with unequal variances; The paired t-test; EXECUTIVE SUMMARY 3 Thet-test; 9 One tail or two?; Introduction; Why is the analysis of variance F-test one-tailed?; The two-tailed F-test; How many tails has the t-test?; The final conclusion on number of tails; 10 Analysis of variance (ANOVA): what is it? How does it work?; Introduction Sums of squares in ANOVASome 'made-up' variation to analyse by ANOVA; The sum of squares table; Using ANOVA to sort out the variation in Table C; The relationship between t and F; Constraints on ANOVA; Comparison between treatment means in ANOVA; The least significant difference; A caveat about using the LSD; EXECUTIVE SUMMARY 4 The principle of ANOVA; 11 Experimental designs for analysis of variance (ANOVA); Introduction; Fully randomised; Randomised blocks; Incomplete blocks; Latin square; Split plot; Types of analysis of variance |

Responsibility: | Helmut F. van Emden (emeritus professor of horticulture, School of Biological Sciences, the University of Reading, UK). |

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